ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · OHIO, OH · 2021
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/ohio/statewide/2021-annual-report
Yearly Traffic Safety Analysis
785 CRASHES IN
OHIO, OH
2021
In 2021, Brown County recorded 785 traffic crashes, resulting in 5 fatalities and 272 injuries. These incidents involved 1,121 vehicles and 1,548 individuals. A notable characteristic of these crashes is the high proportion of single-vehicle incidents, which accounted for 62.3% of all collisions.
785
Total Crash Events
5
Persons Killed
272
Persons Injured
7.4%
Hit-and-Run Rate
Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Aggregate counts from crash, person, and vehicle records
58
Hit-and-Run Crashes — 2021
During this period, 58 crashes were classified as hit-and-run incidents, constituting 7.4% of all crashes in the county. This determination is based on the initial report filed by the responding law enforcement officer at the scene of the collision.
Vulnerable Road User Casualties
Of the 5 fatalities recorded, 4 were motor vehicle occupants and 1 was a pedestrian. Motorists also accounted for the vast majority of injuries, with 269 individuals injured. In addition to the one pedestrian fatality, 3 pedestrians sustained injuries. No bicyclists were killed or injured in crashes during this period.
1
Pedestrians Killed
4
Motorists Killed
3
Pedestrians Injured
269
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash patterns show a clear peak on Fridays, which saw 148 incidents, and during the 6 p.m. hour, with 61 crashes recorded. While 429 crashes (54.6%) occurred during daylight hours, a significant number, 274 crashes, took place on unlit roadways after dark.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The majority of crashes, 586 incidents or 74.6%, resulted in no injuries. Injury-related crashes accounted for approximately 25% of the total, including 28 serious injury crashes and 122 minor injury crashes. In total, 4 separate crashes were classified as fatal, leading to 5 deaths, as a single crash can result in multiple fatalities.
Severity is per crash event (most severe injury). 4 fatal crash events resulted in 5 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Most severe injury per crash record
Road & Environmental Conditions
A majority of crashes occurred in favorable conditions, with 59.7% (469 crashes) happening in clear weather and 74.1% (582 crashes) on dry road surfaces. Over half of all incidents (429 crashes, or 54.6%) took place in daylight. Adverse conditions still played a role, with 153 crashes on wet roads and 69 crashes during rain.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Road surface condition field
Vehicles & Demographics
Among the 1,548 people involved in crashes, the 26-34 and 35-44 age groups were the most represented, each with 221 individuals. Of the 1,121 vehicles involved, Chevrolet was the most frequent make with 246 vehicles, followed by Ford with 234 vehicles. Dodge (79), Toyota (74), and Honda (60) were the next most common makes.
Top Vehicle Makes (1,121 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
65 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,509 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Crash Location (First Harmful Event)
The first harmful event in most crashes, 540 incidents, occurred on the roadway itself. However, a significant portion of crashes were run-off-road events, with 241 incidents (30.7%) having their first harmful event on the roadside, shoulder, or in the median, indicating a loss of control from the travel lanes.
Crash Location (First Harmful Event)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Traffic Control Device
The vast majority of vehicles involved in crashes were at locations with no traffic control device present, accounting for 883 of the 1,121 vehicles (78.8%). Crashes at locations with traffic signals involved 126 vehicles (11.2%), and those at stop signs involved 109 vehicles (9.7%).
Traffic Control Device
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Driver Contributing Factor
Among driver-related actions cited as contributing factors, unsafe speed was the most common, noted for 119 vehicles. This was followed by driving off the road (110 vehicles), following too closely (106 vehicles), and failure to yield (92 vehicles).
Driver Contributing Factor
Showing top 9 of 20 reported. 11 additional (60 total) not shown: Other Improper Action, Improper Turn, Operating Defective Equipment, Ran Red Light, Improper Lane Change, Ran Stop Sign, Load shifting/Falling/Spilling, Improper Start From a Parked Position, Improper Crossing, Vision Obstruction, Wrong Way.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Commercial / Truck Involvement
A total of 37 commercial vehicles were involved in crashes, including 15 semi-tractor trailers and 22 other commercial vehicles like single-unit trucks. These vehicles were involved in incidents that represent a high-severity category, although they comprise 3.3% of all vehicles in crashes.
Vulnerable Road Users & Motorcycles
Crashes involved 23 vulnerable road users and motorcyclists. This included 17 crashes with motorcyclists, 5 with pedestrians, and 1 with a bicyclist. Combined, the 6 crashes involving pedestrians and bicyclists represent a particularly high-risk category for severe injury or death.
Animal-Involved Crashes
Collisions with animals accounted for 194 crashes, representing a significant 24.7% of all incidents in the county. The vast majority of these, 182 crashes, involved deer, while 12 crashes involved other types of animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 48 crashes, or 6.1% of the total. Among these, impairment by drugs was cited in 19 incidents, alcohol in 16, and a combination of alcohol and drugs in 13.
Driver Condition
Beyond 'Apparently Normal,' specific driver conditions were noted for 67 of the 1,104 drivers. Being under the influence of medications, drugs, or alcohol was the most cited condition, affecting 44 drivers. Additionally, 14 drivers were reported as having fallen asleep, fainted, or been fatigued.
Driver Condition
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Driver Distraction
Among 1,104 drivers, 44 were noted as being distracted. The most common issues were other distractions inside the vehicle (18 drivers) and outside the vehicle (11 drivers). Electronic device use was explicitly cited for 14 drivers, including 5 who were manually operating a device.
Driver Distraction
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Road Alignment
Roadway geometry played a role in a notable share of crashes. Incidents on curves occurred in 163 cases (20.8% of all crashes). Roadways with a grade (uphill or downhill) were the site of 180 crashes, accounting for 22.9% of the total.
Road Alignment
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Top Cities
The geographic distribution of crashes across Brown County was concentrated in a few key areas. The township of Mount Orab saw the highest number of incidents with 97 crashes, representing 12.4% of the county's total. Perry township followed with 82 crashes (10.4%), and Clark township had 56 crashes (7.1%).
Top Cities
Showing top 9 of 25 reported. 16 additional (246 total) not shown: Pleasant, Lewis, Union, Georgetown, Jefferson, Jackson, Huntington, Byrd, Franklin, Brown, Sardinia, Fayetteville, Aberdeen, Ripley, Russellville, Hamersville.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Pre-Crash Driver Action
The most common action for vehicles immediately before a crash was driving straight ahead, which was the case for 753 vehicles (67.2%). The next most frequent pre-crash actions were negotiating a curve (119 vehicles, or 10.6%) and slowing or stopping in traffic (92 vehicles, or 8.2%).
Pre-Crash Driver Action
Showing top 9 of 14 reported. 5 additional (18 total) not shown: Changing Lanes, Walking; Running; Jogging; Playing, Driverless, Other/Unknown, Standing.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
Single-vehicle crashes were the dominant collision type, with 489 incidents (62.3%) classified as 'Not Collision Between Two Vehicles in Transport'. Among multi-vehicle crashes, angle collisions were the most frequent, occurring in 117 cases (14.9%), followed by rear-end collisions with 93 incidents (11.8%).
Manner of Collision
"Other" combines 2 smaller categories (8 records): Other/Unknown (7), Rear-to-rear (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 512 of the 1,121 total vehicles (45.7%). Light trucks, including pickups (239) and sport utility vehicles (234), collectively made up another significant portion, representing 42.2% of vehicles in collisions.
Vehicle Type
"Other" combines 10 smaller categories (41 records): Cargo Van (11), Bus (16+ Passengers) (7), Pedestrian/Skater (5), Van (9-15 Seats) (4), Farm Equipment (4), Other Vehicle (4), Unknown or Hit/Skip (3), Heavy Equipment (1), Bicycle (1), All Terrain Vehicle (ATV/UTV) (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Of the 1,548 individuals involved in crashes, the majority were drivers (1,104 people, or 71.3%). Vehicle occupants, or passengers, accounted for 439 individuals (28.4%). A small but notable group of 5 pedestrians were also involved in these incidents.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Among the 1,548 people involved in crashes, 277 were either injured or killed, representing 17.9% of all participants. This includes 5 fatalities, 43 serious injuries, 163 minor injuries, and 66 possible injuries. The remaining 1,253 individuals sustained no apparent injury.
Person Injury Severity
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Occupant Safety Equipment
Among individuals where safety equipment use was documented, 150 people were recorded as using no restraints at all. This group represents 10.0% of the 1,501 participants with a known restraint status. The majority, 1,252 individuals, were reported as using both a shoulder and lap belt.
Occupant Safety Equipment
"Other" combines 2 smaller categories (12 records): Helmet Used (11), Shoulder Belt Only Used (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Vehicles Per Crash
Single-vehicle crashes were the most common scenario, accounting for 460 of the 785 total incidents (58.6%). Crashes involving two vehicles were the next most frequent, with 315 occurrences (40.1%). Multi-vehicle pile-ups were rare, with only 9 crashes involving three vehicles and one crash involving four.
Vehicles Per Crash
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Data Sources & Methodology
Primary Data Source
All crash data in this report is sourced from Ohio Crash Data (ODOT TIMS), accessed programmatically via the Csv Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.
Data Retrieval
- Access method: Csv Open Data API (SoQL queries)
- Data format: Structured JSON via REST API
- Record types queried: Crash events, person records, and vehicle unit records
- Date filter applied: 2021-01-01 through 2021-12-31
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 785
- Total persons involved: 1,548
- Total vehicles involved: 1,121
Analytical Methodology
- Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
- Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
- Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
- Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
- Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
- Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
- AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.
Limitations & Disclaimers
- Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
- Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
- Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
- AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
- Percentages are calculated from reported data and are subject to rounding.
Non-Affiliation Disclosure
This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.
Data License
The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.
Corrections & Feedback
If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.
Suggested Citation
ThatCarHitMe.com (Injuria.ai). "ohio, OH Crash Intelligence Report: 2021." Published July 6, 2026. Reporting period: 2021-01-01 to 2021-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/2021-annual-report
About the Publisher
ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.
Questions about this report's data or methodology: data@injuria.ai
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Ohio Crash Data (ODOT TIMS) · Csv
Period: 2021-01-01 – 2021-12-31
Generated: July 6, 2026 · All rights reserved